ssbenchSwiftStack Swift Benchmarking SuiteWhat Is This?
=============
`SwiftStack`_ Benchmark Suite (``ssbench``) is a flexible and scalable
benchmarking tool for the `OpenStack Swift`_ object storage system.
The ``ssbench-master run-scenario`` command will run benchmark "scenarios"
against an
OpenStack Swift cluster, utilizing one or more distributed ``ssbench-worker``
processes, saving statistics about the run to a file. The ``ssbench-master
report-scenario`` command can then generate a
report from the saved statstics. By default, ``ssbench-master run-scenario``
will generate a report to STDOUT immediately following a benchmark run in
addition to saving the raw results to a file.
Coordination between the ``ssbench-master`` and one or more ``ssbench-worker``
processes is managed through a pair of `PyZMQ`_ sockets. This
allows ``ssbench-master`` to distribute the benchmark run across many, many
client servers while still coordinating the entire run (each worker can be
given a job referencing an object created by a different worker).
.. _`PyZMQ`: http://zeromq.github.com/pyzmq/
.. _`OpenStack Swift`: http://docs.openstack.org/developer/swift/
.. _`SwiftStack`: http://swiftstack.com/
Installation on Ubuntu
----------------------
I apologize for this stupid dependency dance with Ubuntu (tested with **12.04
LTS Precise**). With the --noop benchmark, ``gevent-zeromq`` is about 25%
faster than ``pyzmq`` 2.2.0.1's zmq.green module, so I consider the annoying
``gevent-zeromq`` dependency worth it. The ``gevent-zeormq``
Cython build doesn't work with Ubuntu 12.04's Python's distribute, and Cython
has to be installed in a prior "pip" command to be recognized by
``gevent-zeromq``'s setup.py::
$ sudo apt-get install -y python-dev python-pip 'g++' libzmq-dev libevent-dev
$ sudo pip install --upgrade distribute
$ sudo pip install Cython gevent pyzmq==2.2.0
$ sudo pip install ssbench
Installation on Fedora 18
-------------------------
Installation on Fedora 18 using its stock Python 2.7::
$ sudo yum install -y gcc gcc-c++ python-setuptools python-devel libevent-devel python-pip zeromq3-devel python-argparse Cython gevent
$ sudo pip install Distribute
$ sudo pip install --upgrade pyzmq==2.2.0
$ sudo pip install gevent-zeromq
$ sudo pip install ssbench
Installation on RHEL 6.4
--------------------------
Installation on RHEL 6.4 using its stock Python 2.6::
$ sudo rpm -Uvh http://mirror.pnl.gov/epel/6/i386/epel-release-6-8.noarch.rpm
$ sudo yum install -y gcc gcc-c++ python-setuptools python-devel libevent-devel python-pip zeromq3-devel python-argparse Cython
$ sudo pip install Distribute
$ sudo pip install --upgrade gevent pyzmq==2.2.0
$ sudo pip install gevent-zeromq
$ sudo pip install ssbench
Installation on CentOS 6.3
--------------------------
Installation on CentOS 6.3 using its stock Python 2.6::
$ sudo rpm -Uvh http://mirror.pnl.gov/epel/6/i386/epel-release-6-8.noarch.rpm
$ sudo yum install -y gcc gcc-c++ python-setuptools python-devel libevent-devel python-pip zeromq3-devel
$ sudo pip-python install --upgrade argparse distribute Cython gevent pyzmq==2.2.0
$ sudo pip-python install gevent-zeromq
$ sudo pip-python install ssbench
Installation on OS X
--------------------
On the Mac, I recommend installing `Homebrew`_ and using that to install Python
2.7, `libevent`_, and zeromq. I haven't tested a fresh install in a while, but I had far
less problems with Cython and gevent-zeormq on OS X, probably because the
`Homebrew`_ Python was newer than Ubuntu 12.04's?
.. _`Homebrew`: http://mxcl.github.com/homebrew/
Then you should be able to just ``pip install ssbench``.
Gevent 1.0beta
--------------
I have not tested ``ssbench`` against
`gevent 1.0rc2`_, but according to an old `gevent blog post`_, gevent v1.x will
bundle `libev`_ and not require the installation of `libevent`_ or
`libev_`. If you try ``ssbench`` with `gevent 1.0rc2`_, please let me know if
and how that works...
.. _`gevent 1.0rc2`: https://github.com/SiteSupport/gevent/downloads
.. _`gevent blog post`: http://blog.gevent.org/2011/04/28/libev-and-libevent/
.. _`libev`: http://software.schmorp.de/pkg/libev.html
.. _`libevent`: http://libevent.org/
Scenarios
---------
A "scenario" (sometimes called a "CRUD scenario") is a utf8-encoded JSON file
defining a benchmark run. Specifically, it defines:
- A ``name`` for the scenario (an arbitrary string)
- A ``sizes`` list of "object size" classes. Each object size class has a
``name``, a ``size_min`` minimum object size, a ``size_max`` maximum object
size (in bytes), and an
optional ``crud_profile`` for just this size. If ``crud_profile`` is not
given for a size, the top-level ``crud_profile`` will be used. The
``crud_profile`` here is just like the top-level one, an array of 4 numbers
whose relative sizes determine the percent chance of a Create, Read, Update,
or Delete operation. Objects created or updated within an object size
class will have a size (in bytes) chosen at random uniformly between the
minimum and maximum sizes.
- An ``initial_files`` dictionary of initial file-counts per size class. Each
size class can have zero or
more objects uploaded *prior* to the benchmark run itself. The proportion of
initial files also defines the probability distribution of object sizes
during the benchmark run itself. So if a particular object size class is not
included in ``initial_files`` or has a value of 0 in ``initial_files``, then
no objects in that size class will be used during the benchmark run. Each
initial object's name and container is deterministic and, as an optimization,
if an object of the right name is in the right container, it will not be
uploaded again; note that initial objects are not deleted after each
benchmark run, so this can speed up subsequent runs quite a bit.
- An ``operation_count`` of operations to perform during the benchmark run.
An operation is
either a CREATE, READ, UPDATE, or DELETE of an object. This value may be
overridden for any given run with the ``-o COUNT`` flag to ``ssbench-master
run-scenario``.
- A ``run_seconds`` number of seconds the benchmark scenario should run. This
is mutually exclusive with ``operation_count``, so only one of those two
should be specified. Both values may be overridden with command-line
arguments to ``ssbench-master``.
- A ``crud_profile`` which determines the distribution of each kind of operation.
For instance, ``[3, 4, 2, 2]`` would mean 27% CREATE, 36% READ, 18% UPDATE,
and 18% DELETE.
- A ``user_count`` which determines the maxiumum client concurrency during the
benchmark run. The user is responsible for ensuring there are enough workers
running to support the scenario's defined ``user_count``. (Each
``ssbench-worker`` process uses `gevent`_ to achive very efficient
concurrency for the benchmark client requests.) This value may be overridden
for any given run with the ``-u COUNT`` flag to ``ssbench-master
run-scenario``.
- A ``container_base`` which is a string used to construct the names of
containers used by ssbench. It defaults to ``ssbench``, resulting in
container names like ``ssbench_000061``.
- A ``container_count`` which determines how many Swift containers are used for
the benchmark run. This key is optional in the scenario file and defaults to
100. This value may be overridden for any given run with the ``-c
COUNT`` flag to ``ssbench-master run-scenario``.
- A ``container_concurrency`` value which determines the level of client
concurrency used by ``ssbench-master`` to create the benchmark containers.
This value is optional and defaults to 10.
For each operation of the benchmark run, a size category is first chosen based
on the relative counts for each size category in the ``initial_files``
dictionary. This probability for each size category appears under the "% Ops"
column in the report. Then an operation type is chosen based on that size
category's CRUD profile (which can be individually specified or may be
inherited from the "top level" CRUD profile).
If each size category has its own CRUD profile, then the overall CRUD profile
of the benchmark run will be a weighted average between the values in the "%
Ops" column and the CRUD profile of each size category. This weighted average
CRUD profile is included in the report on the "CRUD weighted average" line.
.. _`gevent`: http://www.gevent.org/
``ssbench`` comes with a few canned scenarios, but users are encouraged to
experiment and define their own.
Here is an example JSON scenario file::
{
"name": "Small test scenario",
"sizes": [{
"name": "tiny",
"size_min": 4096,
"size_max": 65536
}, {
"name": "small",
"size_min": 100000,
"size_max": 200000
}],
"initial_files": {
"tiny": 100,
"small": 10
},
"operation_count": 500,
"crud_profile": [3, 4, 2, 2],
"user_count": 7
}
**Beware:** hand-editing JSON is error-prone. Watch out for trailing
commas, in particular.
Usage
-----
The ``ssbench-worker`` script's usage message may be generated with::
$ ssbench-worker -h
usage: ssbench-worker [-h] [--zmq-host ZMQ_HOST]
[--zmq-work-port ZMQ_WORK_PORT]
[--zmq-results-port ZMQ_RESULTS_PORT] [-c CONCURRENCY]
[--retries RETRIES] [--batch-size COUNT] [-p COUNT] [-v]
worker_id
...
The ``ssbench-master`` command requires one sub-command, which is currently
either ``run-scenario`` to actually run a benchmark scenario,
``report-scenario`` to report on an existing scenario result data file, or
``kill-workers`` to tell connected ``ssbench-worker`` processes not started
with ``--workers`` to kill themselves::
usage: ssbench-master [-h] [-v] [-q]
{report-scenario,kill-workers,run-scenario,cleanup-containers}
...
SwiftStack Benchmark (ssbench) version 0.2.20
positional arguments:
{report-scenario,kill-workers,run-scenario,cleanup-containers}
kill-workers Tell all workers to exit.
run-scenario Run CRUD scenario, saving statistics. You must supply
a valid set of v1.0 or v2.0 auth credentials. See
usage message for run-scenario for more details.
report-scenario Generate a report from saved scenario statistics.
Various types of reports may be generated, with the
default being a "textual summary".
cleanup-containers Recursively delete all ssbench containers and their
objects.
optional arguments:
-h, --help show this help message and exit
-v, --verbose Enable more verbose output. (default: False)
-q, --quiet Suppress most output (including progress characters
during run). (default: False)
The ``run-scenario`` sub-command of ``ssbench-master`` actually
runs a benchmark scenario::
$ ssbench-master run-scenario -h
usage: ssbench-master run-scenario [-h] -f SCENARIO_FILE
[--zmq-bind-ip BIND_IP]
[--zmq-work-port PORT]
[--zmq-results_port PORT] [-V AUTH_VERSION]
[-A AUTH_URL] [-U USER] [-K KEY]
[--os-username <auth-user-name>]
[--os-password <auth-password>]
[--os-tenant-id <auth-tenant-id>]
[--os-tenant-name <auth-tenant-name>]
[--os-auth-url <auth-url>]
[--os-auth-token <auth-token>]
[--os-storage-url <storage-url>]
[--os-region-name <region-name>]
[--os-service-type <service-type>]
[--os-endpoint-type <endpoint-type>]
[--os-cacert <ca-certificate>] [--insecure]
[-S STORAGE_URL] [-T TOKEN] [-c COUNT]
[-u COUNT] [-o COUNT] [-r SECONDS]
[-b BYTES] [--workers COUNT]
[--batch-size COUNT] [--profile] [--noop]
[-k] [--connect-timeout CONNECT_TIMEOUT]
[--network-timeout NETWORK_TIMEOUT]
[-s STATS_FILE] [-R] [--csv]
[--pctile PERCENTILE]
...
The ``report-scenario`` sub-command of ``ssbench-master`` reports on a
previously-run benchmark scenario::
$ ssbench-master report-scenario -h
usage: ssbench-master report-scenario [-h] -s STATS_FILE [-f REPORT_FILE]
[--pctile PERCENTILE] [--csv]
[-r RPS_HISTOGRAM] [--profile]
...
The ``kill-workers`` sub-command of ``ssbench-master`` kills all
``ssbench-worker`` processes which are pointed at the ``ssbench-master``
ZMQ sockets (this is useful for multi-server benchmark runs where the workers
were not started with ``ssbench-master``'s ``--workers`` option)::
$ ssbench-master kill-workers -h
usage: ssbench-master kill-workers [-h] [--zmq-bind-ip BIND_IP]
[--zmq-work-port PORT]
[--zmq-results_port PORT]
...
The ``cleanup-containers`` sub-command of ``ssbench-master`` recursively
deletes all ssbench-created containers and objects. It takes all the same
authorization-related options as ``run-scenario``::
$ ssbench-master cleanup-containers -h
usage: ssbench-master cleanup-containers [-h] [-b CONTAINER_BASE]
[-c CONCURRENCY] [-V AUTH_VERSION]
[-A AUTH_URL] [-U USER] [-K KEY]
[--os-username <auth-user-name>]
[--os-password <auth-password>]
[--os-tenant-id <auth-tenant-id>]
[--os-tenant-name <auth-tenant-name>]
[--os-auth-url <auth-url>]
[--os-auth-token <auth-token>]
[--os-storage-url <storage-url>]
[--os-region-name <region-name>]
[--os-service-type <service-type>]
[--os-endpoint-type <endpoint-type>]
[--os-cacert <ca-certificate>]
[--insecure] [-S STORAGE_URL]
[-T TOKEN]
...
Authentication
--------------
``ssbench-master`` supports all the same authentication arguments, with similar
semantics, as `python-swiftclient`_'s command-line tool, ``swift``.
For v1.0 authentication, you just need ``ST_AUTH``, ``ST_USER``, and ``ST_KEY``
defined in the environment or overridden/set on the command-line with ``-A``,
``-U``, and ``-K``, respectively.
For v2.0 authentication (Keystone), it's more complicated and you should refer
to Keystone and/or `python-swiftclient`_ documentation for more help.
Regardless of which version of authentication is used, you may specify ``-S
<storage_url>`` on the command-line to override the Storage URL returned from
the authentication system.
.. _`python-swiftclient`: https://github.com/openstack/python-swiftclient
Load Balancing
--------------
You can bypass your normal load-balancing scheme by telling ``ssbench-master``
to distribute load across a specified set of Storage URLs. This is done by
specifiying one or more ``-S STORAGE_URL`` options to ``ssbench-master``. Any
storage URL returned from the auth server will be ignored and a randomly chosen
command-line-specified storage URL will be used instead.
Note that each ``ssbench-worker`` process will create a fully-populated
connection pool for each unique ``-S`` argument specified. Each connection
pool will contain a number of sockets equal to the ``-c`` option (which defaults
to 64). So a large number of unique ``-S`` arguments for ``ssbench-worker``
and a large ``-c`` value for ``ssbench-worker`` processes will not mix well.
Example Multi-Server Run
------------------------
Start one or more ``ssbench-worker`` processes on each server (each
``ssbench-worker`` process defaults to a maximum `gevent`_-based concurrency
of 64, but the ``-c`` option can override that default). Use the
``--zmq-host`` command-line parameter to specify the host on which you will run
``ssbench-master``.::
bench-host-01$ ssbench-worker -c 1000 --zmq-host bench-host-01 1 &
bench-host-01$ ssbench-worker -c 1000 --zmq-host bench-host-01 2 &
bench-host-02$ ssbench-worker -c 1000 --zmq-host bench-host-01 3 &
bench-host-02$ ssbench-worker -c 1000 --zmq-host bench-host-01 4 &
Finally, run one ``ssbench-master`` process which will manage and coordinate
the multi-server benchmark run::
bench-host-01$ ssbench-master run-scenario -f scenarios/very_small.scenario -u 2000 -o 40000
The above example would involve a total client concurrency of 2000, spread
evenly among the four workers on two hosts (``bench-host-01`` and
``bench-host-02``). The four workers, as started in the above example,
could support a maximum total client concurrency (``-u`` option to
``ssbench-master``) up to 4000.
Example Simple Single-Server Run
--------------------------------
If you only need workers running on the local host, you can do so with a single
command. Simply use the ``--workers COUNT`` option to ``ssbench-master``::
$ ssbench-master run-scenario -f scenarios/very_small.scenario -u 4 -c 80 -o 613 --pctile 50 --workers 2
INFO:SwiftStack Benchmark (ssbench version 0.2.14)
INFO:Spawning local ssbench-worker (logging to /tmp/ssbench-worker-local-0.log) with ssbench-worker ... --concurrency 2 --batch-size 1 0
INFO:Spawning local ssbench-worker (logging to /tmp/ssbench-worker-local-1.log) with ssbench-worker ... --concurrency 2 --batch-size 1 1
INFO:Starting scenario run for "Small test scenario"
INFO:Ensuring 80 containers (ssbench_*) exist; concurrency=10...
INFO:Initializing cluster with stock data (up to 4 concurrent workers)
INFO:Starting benchmark run (up to 4 concurrent workers)
Benchmark Run:
X work job raised an exception
. < 1s first-byte-latency
o < 3s first-byte-latency
O < 10s first-byte-latency
* >= 10s first-byte-latency
_ < 1s last-byte-latency (CREATE or UPDATE)
| < 3s last-byte-latency (CREATE or UPDATE)
^ < 10s last-byte-latency (CREATE or UPDATE)
@ >= 10s last-byte-latency (CREATE or UPDATE)
....._........_.._......_.._..__.._.._..._...__...__._..._._..................
....._.._....__........._.._._......__.._.._._......._..__.._....._..._...__._
...._......_....____....__._.........._...._...._......._....__._.._._..__._..
....__.._..._._._....._......_...._...__...._...___.........._.._._..___..._._
....._._....__.............._.__..._...._...._...._._.._....___........_.__.._
_..__._.__.._.................__......._......._...._.____...._.._....._...._.
..._.............__.._..._.._.._._._._...._.._.._....__._._........_......_.__
.........._._...._.._.........._........_._.._....._......._....._.
INFO:Deleting population objects from cluster
INFO:Calculating statistics...
Small test scenario (generated with ssbench version 0.2.14)
Worker count: 2 Concurrency: 4 Ran 2013-06-07 17:23:16 UTC to 2013-06-07 17:23:22 UTC (5s)
% Ops C R U D Size Range Size Name
91% % 10 75 15 0 4 kB - 8 kB tiny
9% % 10 75 15 0 20 kB - 40 kB small
---------------------------------------------------------------------
10 75 15 0 CRUD weighted average
TOTAL
Count: 613 ( 0 error; 0 retries: 0.00%) Average requests per second: 118.7
min max avg std_dev 50%-ile Worst latency TX ID
First-byte latency: 0.004 - 0.044 0.017 ( 0.008) 0.016 (all obj sizes) txe026893bbf09486c83fcdb629f6f25a3
Last-byte latency: 0.004 - 0.157 0.029 ( 0.024) 0.019 (all obj sizes) tx6f988120ec5044329f817-0051b21708
First-byte latency: 0.004 - 0.044 0.016 ( 0.007) 0.016 ( tiny objs) tx1d35c8e273bf4bbeb6298-0051b21705
Last-byte latency: 0.004 - 0.157 0.028 ( 0.024) 0.019 ( tiny objs) tx6f988120ec5044329f817-0051b21708
First-byte latency: 0.005 - 0.044 0.018 ( 0.008) 0.016 ( small objs) txe026893bbf09486c83fcdb629f6f25a3
Last-byte latency: 0.005 - 0.120 0.031 ( 0.026) 0.021 ( small objs) tx87bf30db5a70412b97a5c71ae60036c1
CREATE
Count: 64 ( 0 error; 0 retries: 0.00%) Average requests per second: 12.5
min max avg std_dev 50%-ile Worst latency TX ID
First-byte latency: N/A - N/A N/A ( N/A ) N/A (all obj sizes)
Last-byte latency: 0.024 - 0.157 0.067 ( 0.023) 0.060 (all obj sizes) tx6f988120ec5044329f817-0051b21708
First-byte latency: N/A - N/A N/A ( N/A ) N/A ( tiny objs)
Last-byte latency: 0.024 - 0.157 0.064 ( 0.022) 0.059 ( tiny objs) tx6f988120ec5044329f817-0051b21708
First-byte latency: N/A - N/A N/A ( N/A ) N/A ( small objs)
Last-byte latency: 0.061 - 0.120 0.087 ( 0.020) 0.089 ( small objs) tx87bf30db5a70412b97a5c71ae60036c1
READ
Count: 459 ( 0 error; 0 retries: 0.00%) Average requests per second: 88.9
min max avg std_dev 50%-ile Worst latency TX ID
First-byte latency: 0.004 - 0.044 0.017 ( 0.008) 0.016 (all obj sizes) txe026893bbf09486c83fcdb629f6f25a3
Last-byte latency: 0.004 - 0.044 0.017 ( 0.008) 0.016 (all obj sizes) txe026893bbf09486c83fcdb629f6f25a3
First-byte latency: 0.004 - 0.044 0.016 ( 0.007) 0.016 ( tiny objs) tx1d35c8e273bf4bbeb6298-0051b21705
Last-byte latency: 0.004 - 0.044 0.017 ( 0.007) 0.016 ( tiny objs) tx1d35c8e273bf4bbeb6298-0051b21705
First-byte latency: 0.005 - 0.044 0.018 ( 0.008) 0.016 ( small objs) txe026893bbf09486c83fcdb629f6f25a3
Last-byte latency: 0.005 - 0.044 0.019 ( 0.008) 0.017 ( small objs) txe026893bbf09486c83fcdb629f6f25a3
UPDATE
Count: 90 ( 0 error; 0 retries: 0.00%) Average requests per second: 18.1
min max avg std_dev 50%-ile Worst latency TX ID
First-byte latency: N/A - N/A N/A ( N/A ) N/A (all obj sizes)
Last-byte latency: 0.021 - 0.143 0.062 ( 0.021) 0.061 (all obj sizes) tx9a502107a0c246e69a987d120a2b9919
First-byte latency: N/A - N/A N/A ( N/A ) N/A ( tiny objs)
Last-byte latency: 0.021 - 0.143 0.062 ( 0.022) 0.061 ( tiny objs) tx9a502107a0c246e69a987d120a2b9919
First-byte latency: N/A - N/A N/A ( N/A ) N/A ( small objs)
Last-byte latency: 0.036 - 0.085 0.065 ( 0.015) 0.065 ( small objs) tx732aae54c9484689b8fea-0051b21709
INFO:Scenario run results saved to /tmp/ssbench-results/Small_test_scenario.u4.o613.r-.2013-06-07.102314.stat.gz
INFO:You may generate a report with:
.../ssbench-master report-scenario -s /tmp/ssbench-results/Small_test_scenario.u4.o613.r-.2013-06-07.102314.stat.gz
Benchmark Reports
-----------------
The default, textual table report may be seen in the above example output. You
can also specify ``--csv`` when running a scenario or generating a report later
to generate a CSV report instead. This feature is still pretty new so expect
the CSV report output to change over time.
Right now, the default report's CSV version is two lines: a line of column
header names and one line of actual data. Both lines are *very* long and the
set of columns present in any given CSV report will depend on the scenario
which was run. Some column names have the ``--pctile`` value in them and many
columns have the object sizes in them, which are defined in the scenario file.
You can think of the two CVS lines as a linear denormalization of the contents
of the two-dimensional table output.
Scalability and Throughput
--------------------------
Assuming the Swift cluster being benchmarked is not the bottleneck, the
scalability of ssbench may be increased by
- Running up to one ``ssbench-worker`` process per CPU core on any number of
benchmarking servers.
- Increasing the default ``--batch-size`` parameter (defaults to 1) on both the
``ssbench-master`` and ``ssbench-worker`` command-lines. Note that if you
are running everything on one server and using the ``--workers`` argument to
``ssbench-master``, the ``--batch-size`` parameter passed to
``ssbench-master`` will be passed on to the automatically-started
``ssbench-worker`` processes.
- For optimal scalability, the user-count (concurrency) should be greater than
and also an even multiple of both the batch-size and number of
``ssbench-worker`` processes.
As a simple example, on my quad-core MacBook Pro, I get around **9,800** requests
per second with ``--noop`` (see below) with this command-line (a
``--batch-size`` of 1)::
$ ssbench-master run-scenario ... -u 24 -o 30000 --workers 3 --noop
But with a ``--batch-size`` of 8, I can get around **19,500** requests per second::
$ ssbench-master run-scenario ... -u 24 -o 30000 --workers 3 --noop --batch-size 8
HTTPS on OS X
-------------
When running ``ssbench-worker`` on a Mac, using HTTPS, I got a significant
speed-up when setting ``OPENSSL_X509_TEA_DISABLE=1`` in the environment of my
``ssbench-worker`` processes. I found this tip via a `curl blog post`_ after
noticing a process named ``trustevaluationagent`` chewing up a lot of CPU
during a benchmark run against a cluster using HTTPS.
.. _`curl blog post`: http://daniel.haxx.se/blog/2011/11/05/apples-modified-ca-cert-handling-and-curl/
The No-op Mode
--------------
To test the maximum throughput of the ``ssbench-master`` <==>
``ssbench-worker`` infrastructure, you can add ``--noop`` to a
``ssbench-master run-scenario`` command and the scenario will be "run" but
the ``ssbench-worker`` processes will not actually talk to the Swift cluster.
In this manner, you may determine your maximum requests per second if talking
to the Swift cluster were free.
The reported "Average requests per second:" value in the "TOTAL" section of
the report should be higher than you expect to get out of the Swift cluster
itself.
With an older version of ``ssbench`` which used a beanstalkd server to manage
master/worker communication, my 2012 15" Retina Macbook Pro could get **~2,700
requests per second** with ``--noop`` using a local beanstalkd, one
``ssbench-worker``, and a user count (concurrency) of 4.
With ZeorMQ sockets (no beanstalkd involved), the same laptop can get between
**7,000 and 8,000 requests per second** with ``--noop``.
Contributing to ssbench
-----------------------
First, please use the Github Issues for the project when submitting bug reports
or feature requests.
Code submissions should be submitted as pull requests and all code should be
PEP8 (v. 1.4.2) compliant. Current unit test line coverage is not 100%, but
code contributions should not *lower* the code coverage (so please include
new tests or update existing ones as part of your change). Running tests will
probably require Python 2.7 and a few additional modules like ``flexmock`` and
``nose``.
Regarding test tools, I started out using ``flexmock``, but plan to mostly add
new tests using the ``mock`` library since that's been included in the stdlib
and the Python community seems to be converging on it. So please use ``mock``
instead of ``flexmock`` for new tests.
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# Copyright (c) 2013 FirstName LastNameSwiftStack, Inc.fcc854e69c698b38d53c56adec8cd719d30a19bc0.2.23